The Land Market in Hong Kong: Price Index and Relationship with the Property Market

2007 ◽  
Author(s):  
Helen X. Bao ◽  
Sherry Zhefang Zhou
2019 ◽  
Vol 13 (1) ◽  
Author(s):  
Ting Lan

Abstract This study uses the intrinsic bubbles detection method to identify housing bubbles in the Hong Kong residential property market. By using sample period data from 1993 to 2019, the empirical results show evidence of intrinsic bubbles. Based on the unit root and co-integration tests, I found that there are no rational speculative bubbles in the Hong Kong residential property market. Furthermore, by using the Granger causality tests of the corresponding asymmetric VECM specification, there is no causality from lagged changes in the rental price returns to changes in the property price returns. However, there is strong evidence to show that changes in the property price index returns can Granger cause changes in the rental price index returns.


1998 ◽  
Vol 1 (1) ◽  
pp. 64-80
Author(s):  
Jia He ◽  
◽  
Ming Liu ◽  

A study on the prepayment behavior of Hong Kong mortgage loans is conducted. With all of the loans as adjustable-rate mortgages (ARMs), we find that 1) Prepayment speeds up and then slows down as the mortgage seasons; 2) Prepayment speeds up as the rate markup decreases; 3) Prepayment speeds up as the interest rate increases; 4) Prepayment speeds up when the profitability ratio of the banks ( the prime-HIBOR spread) is higher; 5) Prepayment speeds up as the price of the property market falls; 6) Prepayment speed is faster for loans with a lower loan-to-value ratio; 7) Prepayment exhibits a seasonal pattern: people tend to prepay in the summer.


2021 ◽  
Author(s):  
Ken Wong ◽  
Max Kwong ◽  
Paul Luk ◽  
Michael Cheng

2004 ◽  
Vol 8 (2) ◽  
pp. 105-119 ◽  
Author(s):  
Eddie Chi Man Hui ◽  
Joe Tak Yun Wong

This paper examines housing price trends and prediction, of homeowners and potential home buyers, and establishes an independent index (the BRE Index) based on longitudinal telephone surveys collected. The Index, first of this kind in Hong Kong, measures price expectations and benchmarks the level of housing actors’ confidence in the residential market. This is the first paper delivered as part of a government‐funded research project. It synthesizes the key findings of the first survey mounted from 17th to 20th December, 2003. The results show that confidence among housing actors has begun to grow since the property crash in late 1997 with the “overall” BRE Index standing at 564 (0–1000 range). In general, homeowners, people with higher educational level and higher income are optimistic about the market outlook. Residential property prices are expected to rise marginally in the short term. Statistically, there is no significant difference in housing price expectations between homeowners and non‐owners. In their minds, economic condition is the most important factor affecting housing decisions. Apparently, the rising trends in the immediate past have been used to form expectations. The strength of the association between actual capital gains and forecast capital gains is moderately strong, and there appears co‐movement between them. This leads us to believe that hope‐led expectations increase the likelihood of sustaining price increases. The current market is largely driven by expectations. If households formed their expectations in a similar manner in other periods, there would be similar “positive hit” results, which might render the Index more powerful.


2016 ◽  
Vol 2 (1) ◽  
pp. 102
Author(s):  
Asih Retno Dewi

Abstract: Performance measurement in determining the Tax Object Acquisition Value as the basis for the imposition of duties onAcquisition of Land and Building Rights is conducted by analysis tool using assessment sales ratio (ASR). ASR analysis aims todetermine the level of conformity of Tax Object Acquisition Value (NPOP) to land market value to determine whether Tax ObjectAcquisition Value is in proportion, experienced under assessment, or over- assessment. Moreover, this technique also aims tomeasure diversity (variability) to account the level of fairness of Tax Object Acquisition Value as the bases of Duty on Acquisitionof Land and Building Rights (BPHTB). The results shows that the determination of Tax Object Acquisition Value as the bases todetermine BPHTB in Ambarketawang is lower compared to its property market value (under-assessment occurred). The variabilityon the determination of Tax Object Sales Value NPOP as the bases to determine BPHTB in Ambarketawang village is high, impliesthat it does not indicate good uniformity.Keywords: Tax Object Acquisition Value, Property Market Value, Assessment Sales RatioIntisari: Pengukuran kinerja dalam penetapan Nilai Perolehan Objek Pajak (NPOP) sebagai dasar pengenaan Bea Perolehan Hakatas Tanah dan Bangunan (BPHTB) dilakukan dengan alat analisis assessment sales ratio(ASR). Analisis ASR bertujuan untukmengetahui tingkat kesesuaian NPOP terhadap nilai pasar tanah apakah dalam penetapan NPOP sudah proporsional, terjadi underassessment, atau over assessment. Selain itu, juga bertujuan untuk mengukur keberagaman (variabilitas) NPOP sehingga diketahuitingkat keadilan penetapan NPOP sebagai dasar pengenaan BPHTB. Hasil penelitian menunjukkan bahwa penetapan NPOP sebagaidasar pengenaan BPHTB di Desa Ambarketawang masih relatif rendah dibandingkan dengan nilai pasar tanahnya (terjadiunderassessment).Tingkat keberagaman dalam penetapan NJOP sebagai dasar penentuan BPHTB di Desa Ambarketawang sangattinggi atau tidak menunjukkan keseragaman yang baik.Kata kunci: NPOP, Nilai Pasar Tanah, Assessment Sales Ratio


2010 ◽  
Vol 13 (1) ◽  
pp. 1-29
Author(s):  
Sam K. Hui ◽  
◽  
Alvin Cheung ◽  
Jimmy Pang ◽  
◽  
...  

We have developed a statistical method for the valuation of residential properties using a hierarchical Bayesian approach, which takes into consideration the unique structure of the Hong Kong property market. Our model is calibrated on a dataset that covers all residential real estate transactions in ten major Hong Kong residential complexes from February 2008 to February 2009. Although parsimonious, our model outperforms other valuation methods that are based on average price-per-square- feet or expert assessments. By providing our model-based valuations online without charge, we hope to improve transparency in the Hong Kong housing market, thus enabling consumers to make better investment decisions.


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